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A Game As Old As Empire Volume 2 Of 2 Easyread Super Large 20pt Edition Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of A Game As Old As Empire Volume 2 Of 2 Easyread Super Large 20pt Edition book. This book definitely worth reading, it is an incredibly well-written.
Author : Anonim
Publisher : ReadHowYouWant.com
Page : 446 pages
File Size : 49,7 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9781442961623
Author : Anonim
Publisher : ReadHowYouWant.com
Page : 394 pages
File Size : 45,8 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9781427055514
Author : John Perkins
Publisher : Berrett-Koehler Publishers
Page : 430 pages
File Size : 50,9 Mb
Release : 2004-11-09
Category : Biography & Autobiography
ISBN : 9781576755129
Perkins, a former chief economist at a Boston strategic-consulting firm, confesses he was an "economic hit man" for 10 years, helping U.S. intelligence agencies and multinationals cajole and blackmail foreign leaders into serving U.S. foreign policy and awarding lucrative contracts to American business.
Author : John Perkins
Publisher : Readhowyouwant
Page : 324 pages
File Size : 51,9 Mb
Release : 2008-10-13
Category : Business & Economics
ISBN : 1427087776
Economic hit men (EHMs) are highly paid professionals who cheat countries around the globe out of trillions of dollars. They funnel money from the World Bank, the U.S. Agency for International Development (USAID), and other foreign ""aid"" organizations into the coffers of huge corporations and the pockets of a few wealthy families who control the planet's natural resources. Their tools include fraudulent financial reports, rigged elections, payoffs, extortion, sex, and murder. They play a game as old as empire, but one that has taken on new and terrifying dimensions during this time of globalization.
Author : Arthur Miller
Publisher : Unknown
Page : 0 pages
File Size : 44,6 Mb
Release : 1982
Category : Salem (Mass.)
ISBN : OCLC:28589019
Author : John Perkins
Publisher : Berrett-Koehler Publishers
Page : 385 pages
File Size : 43,9 Mb
Release : 2016-02-09
Category : Biography & Autobiography
ISBN : 9781626566750
Featuring 15 explosive new chapters, this new edition of the New York Times bestseller brings the story of Economic Hit Men up-to-date and, chillingly, home to the U.S.―but it also gives us hope and the tools to fight back. Former economic hit man John Perkins shares new details about the ways he and others cheated countries around the globe out of trillions of dollars. Then he reveals how the deadly EHM cancer he helped create has spread far more widely and deeply than ever in the US and everywhere else—to become the dominant system of business, government, and society today. Finally, he gives an insider view of what we each can do to change it. Economic hit men are the shock troops of what Perkins calls the corporatocracy, a vast network of corporations, banks, colluding governments, and the rich and powerful people tied to them. If the EHMs can't maintain the corrupt status quo through nonviolent coercion, the jackal assassins swoop in. The heart of this book is a completely new section, over 100 pages long, that exposes the fact that all the EHM and jackal tools—false economics, false promises, threats, bribes, extortion, debt, deception, coups, assassinations, unbridled military power—are used around the world today exponentially more than during the era Perkins exposed over a decade ago. As dark as the story gets, this reformed EHM also provides hope. Perkins offers specific actions each of us can take to transform what he calls a failing Death Economy into a Life Economy that provides sustainable abundance for all.
Author : Allan Ahlberg
Publisher : Penguin UK
Page : 120 pages
File Size : 42,9 Mb
Release : 1991-08-01
Category : Juvenile Fiction
ISBN : 9780141942476
'The teacher tapped his forehead. At last! the children cried! The answer, Sir's, in your head... What a perfect place to hide' Jump into Allan Ahlberg's playful world of poetry, perfect for primary school children. Shed a tear for The Boy Without A Name, discover the secrets to teachers (they NEVER leave the school!?) and try to solve the riddles of The Answer. Packed with rhythmic poetry and playful songs, this timeless collection has delighted children for generations. 'Every desk should hide a copy; every staff room own one' - The Observer Discover more school stories from Alan Ahlberg: Starting School Please Mrs Butler
Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
Page : 750 pages
File Size : 47,7 Mb
Release : 2014-12-11
Category : Computers
ISBN : 9781491945384
The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies
Author : Eryk Lewinson
Publisher : Packt Publishing Ltd
Page : 426 pages
File Size : 49,8 Mb
Release : 2020-01-31
Category : Computers
ISBN : 9781789617320
Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach. What you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real-world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessmentImprove the performance of financial models with the latest Python librariesApply machine learning and deep learning techniques to solve different financial problemsUnderstand the different approaches used to model financial time series dataWho this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.
Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
Page : 478 pages
File Size : 50,8 Mb
Release : 2020-10-14
Category : Business & Economics
ISBN : 9781492055389
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about
Author : James Ma Weiming
Publisher : Packt Publishing Ltd
Page : 340 pages
File Size : 40,8 Mb
Release : 2015-04-29
Category : Computers
ISBN : 9781784397876
If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
Author : Robert L. Tignor
Publisher : Princeton University Press
Page : 329 pages
File Size : 44,9 Mb
Release : 2020-06-23
Category : Biography & Autobiography
ISBN : 9780691215716
W. Arthur Lewis was one of the foremost intellectuals, economists, and political activists of the twentieth century. In this book, the first intellectual biography of Lewis, Robert Tignor traces Lewis's life from its beginnings on the small island of St. Lucia to Lewis's arrival at Princeton University in the early 1960s. A chronicle of Lewis's unfailing efforts to promote racial justice and decolonization, it provides a history of development economics as seen through the life of one of its most important founders. If there were a record for the number of "firsts" achieved by one man during his lifetime, Lewis would be a contender. He was the first black professor in a British university and also at Princeton University and the first person of African descent to win a Nobel Prize in a field other than literature or peace. His writings, which included his book The Theory of Economic Growth, were among the first to describe the field of development economics. Quickly gaining the attention of the leadership of colonized territories, he helped develop blueprints for the changing relationship between the former colonies and their former rulers. He made significant contributions to Ghana's quest for economic growth and the West Indies' desire to create a first-class institution of higher learning serving all of the Anglophone territories in the Caribbean. This book, based on Lewis's personal papers, provides a new view of this renowned economist and his impact on economic growth in the twentieth century. It will intrigue not only students of development economics but also anyone interested in colonialism and decolonization, and justice for the poor in third-world countries.
Author : Yuxing Yan
Publisher : Packt Publishing Ltd
Page : 653 pages
File Size : 46,6 Mb
Release : 2014-04-25
Category : Computers
ISBN : 9781783284382
A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
Author : Krish Naik
Publisher : Unknown
Page : 378 pages
File Size : 52,6 Mb
Release : 2019-03-29
Category : Computers
ISBN : 1789346371
Learn and implement quantitative finance using popular Python libraries like NumPy, pandas, and Keras Key Features Understand Python data structure fundamentals and work with time series data Use popular Python libraries including TensorFlow, Keras, and SciPy to deploy key concepts in quantitative finance Explore various Python programs and learn finance paradigms Book Description Python is one of the most popular languages used for quantitative finance. With this book, you'll explore the key characteristics of Python for finance, solve problems in finance, and understand risk management. The book starts with major concepts and techniques related to quantitative finance, and an introduction to some key Python libraries. Next, you'll implement time series analysis using pandas and DataFrames. The following chapters will help you gain an understanding of how to measure the diversifiable and non-diversifiable security risk of a portfolio and optimize your portfolio by implementing Markowitz Portfolio Optimization. Sections on regression analysis methodology will help you to value assets and understand the relationship between commodity prices and business stocks. In addition to this, you'll be able to forecast stock prices using Monte Carlo simulation. The book will also highlight forecast models that will show you how to determine the price of a call option by analyzing price variation. You'll also use deep learning for financial data analysis and forecasting. In the concluding chapters, you will create neural networks with TensorFlow and Keras for forecasting and prediction. By the end of this book, you will be equipped with the skills you need to perform different financial analysis tasks using Python What you will learn Clean financial data with data preprocessing Visualize financial data using histograms, color plots, and graphs Perform time series analysis with pandas for forecasting Estimate covariance and the correlation between securities and stocks Optimize your portfolio to understand risks when there is a possibility of higher returns Calculate expected returns of a stock to measure the performance of a portfolio manager Create a prediction model using recurrent neural networks (RNN) with Keras and TensorFlow Who this book is for This book is ideal for aspiring data scientists, Python developers and anyone who wants to start performing quantitative finance using Python. You can also make this beginner-level guide your first choice if you're looking to pursue a career as a financial analyst or a data analyst. Working knowledge of Python programming language is necessary.
Author : Zeev Ben-Sira
Publisher : Praeger
Page : 208 pages
File Size : 40,8 Mb
Release : 1997-10-28
Category : Education
ISBN : UOM:39015040546866
Includes statistics.
